User- and Speed-Independent Slope Estimation for Lower-Extremity Wearable Robots

Data-Driven Variable Impedance Control of a Powered Knee–Ankle Prosthesis for Adaptive Speed and Incline Walking

(2023) T. Kevin Best et al.   IEEE Transactions on Robotics

A Machine Learning Strategy for Locomotion Classification and Parameter Estimation Using Fusion of Wearable Sensors

(2021) Jonathan Camargo et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions

(2021) Jonathan Camargo et al.   JOURNAL OF BIOMECHANICS

Evaluation of Continuous Walking Speed Determination Algorithms and Embedded Sensors for a Powered Knee & Ankle Prosthesis

(2021) Krishan Bhakta et al.   IEEE Robotics and Automation Letters

An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding

(2020) Sho Nakagome et al.   Scientific Reports

Evaluation of Feature Extraction and Classification for Lower Limb Motion Based on sEMG Signal

(2020) Pengjie Qin et al.   Entropy

Machine Learning Model Comparisons of User Independent & Dependent Intent Recognition Systems for Powered Prostheses

(2020) Krishan Bhakta et al.   IEEE Robotics and Automation Letters

Slope Gradient Adaptive Gait Planning for Walking Assistance Lower Limb Exoskeletons

(2020) Chaobin Zou et al.   IEEE Transactions on Automation Science and Engineering

Energetics of Walking With a Robotic Knee Exoskeleton

(2019) Mhairi K. MacLean et al.   JOURNAL OF APPLIED BIOMECHANICS

Terrain Feature Estimation Method for a Lower Limb Exoskeleton Using Kinematic Analysis and Center of Pressure

(2019) Myounghoon Shim et al.   SENSORS

The contributions of ankle, knee and hip joint work to individual leg work change during uphill and downhill walking over a range of speeds

(2018) Jana R. Montgomery et al.   Royal Society Open Science

A Flexible Lower Extremity Exoskeleton Robot with Deep Locomotion Mode Identification

(2018) Can Wang et al.   COMPLEXITY

Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

(2017) Nicholas Shawen et al.   JMIR mHealth and uHealth

A Classification Method for User-Independent Intent Recognition for Transfemoral Amputees Using Powered Lower Limb Prostheses

(2016) Aaron J. Young et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Cross-validation of a portable, six-degree-of-freedom load cell for use in lower-limb prosthetics research

(2014) Sara R. Koehler et al.   JOURNAL OF BIOMECHANICS

Intent Recognition in a Powered Lower Limb Prosthesis Using Time History Information

(2013) Aaron J. Young et al.   ANNALS OF BIOMEDICAL ENGINEERING

Slope Estimation during Normal Walking Using a Shank-Mounted Inertial Sensor

(2012) Antonio M. López et al.   SENSORS

Continuous Locomotion-Mode Identification for Prosthetic Legs Based on Neuromuscular–Mechanical Fusion

(2011) He Huang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Height Compensation Using Ground Inclination Estimation in Inertial Sensor-Based Pedestrian Navigation

(2011) Sang Kyeong Park et al.   SENSORS

Upslope Walking With a Powered Knee and Ankle Prosthesis: Initial Results With an Amputee Subject

(2010) Frank Sup et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Multiclass Real-Time Intent Recognition of a Powered Lower Limb Prosthesis

(2009) H.A. Varol et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A Strategy for Identifying Locomotion Modes Using Surface Electromyography

(2008) He Huang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING